French Ranran L, DeAngelis Gregory C
Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY.
Curr Opin Physiol. 2020 Aug;16:8-13. doi: 10.1016/j.cophys.2020.04.004. Epub 2020 Apr 18.
Neurophysiological studies of multisensory processing have largely focused on how the brain integrates information from different sensory modalities to form a coherent percept. However, in the natural environment, an important extra step is needed: the brain faces the problem of , which involves determining whether different sources of sensory information arise from the same environmental cause, such that integrating them is advantageous Behavioral and computational studies have provided a strong foundation for studying causal inference, but studies of its neural basis have only recently been undertaken. This review focuses on recent advances regarding how the brain infers the causes of sensory inputs and uses this information to make robust perceptual estimates.
多感官处理的神经生理学研究主要集中在大脑如何整合来自不同感官模态的信息以形成连贯的感知。然而,在自然环境中,还需要一个重要的额外步骤:大脑面临因果推理的问题,这涉及确定不同的感官信息源是否来自同一环境原因,以便整合这些信息是有利的。行为和计算研究为研究因果推理提供了坚实的基础,但对其神经基础的研究直到最近才开始。这篇综述聚焦于大脑如何推断感官输入的原因并利用这些信息做出可靠的感知估计方面的最新进展。